Sparse reconstruction for RADAR

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6970, Issue , 2008, Pages

  Potter, Lee C ^a   Schniter, Philip ^a   Ziniel, Justin ^a  

^a The Ohio State University   (United States)

Author keywords

Gaussian mixture models; Radar imaging; Sparse reconstruction

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; BOOLEAN FUNCTIONS; COMPUTER NETWORKS; COMPUTER SIMULATION; DATA PROCESSING; DETECTORS; ERROR ANALYSIS; ESTIMATION; EVOLUTIONARY ALGORITHMS; FOOD PROCESSING; IMAGE CLASSIFICATION; IMAGING SYSTEMS; IMAGING TECHNIQUES; LINEAR REGRESSION; MATHEMATICAL MODELS; MEAN SQUARE ERROR; MIXING; MODAL ANALYSIS; NUMERICAL ANALYSIS; NUMERICAL METHODS; PARAMETER ESTIMATION; PHOTOACOUSTIC EFFECT; RADAR; RADAR ANTENNAS; RADAR IMAGING; RADIO; RANDOM PROCESSES; REGRESSION ANALYSIS; REPAIR; RESTORATION; SCHEDULING ALGORITHMS; SET THEORY; SIGNAL TO NOISE RATIO; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES; TARGET DRONES; TRACKING RADAR; VECTORS;

BAYESIAN ESTIMATIONS; ESTIMATION PERFORMANCE; GAUSSIAN MIXTURE (GM); HIGH PROBABILITY; LINEAR REGRESSION MODEL (LR); LOW SIGNAL TO NOISE RATIO; LOW-COMPLEXITY; MAXIMUM A POSTERIORI PROBABILITY (MAP); MINIMUM MEAN SQUARE ERROR (MMSE) ESTIMATION; MINIMUM MEAN-SQUARED ERROR (MMSE); MIXING PARAMETERS; MODEL SELECTIONS; NUMERICAL SIMULATIONS; PARAMETER VECTORS; POSTERIOR PROBABILITIES; RECURSIVE PROCEDURES; REGRESSOR MATRIX; SIGNAL MODELING; SYNTHETIC APERTURE RADAR (SAR) IMAGERY;

PROBABILITY;

EID: 45149104778     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.786286     Document Type: Conference Paper

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